An environmental degradation sensor for environmentally sensitive products such as food, pharmaceuticals or cosmetic products provides the degraded state and estimated remaining life of the product. The sensor is made of a polymeric matrix and conductive filler. A control agent, selected to adjust a reaction rate of the sensor to environmental conditions, allows correlation of an electrical property of the sensor to a degraded state of the product. The sensor may be integrated with a passive RFID to provide product identification and degradation status wirelessly via reader. The sensor improves product safety, reduces cost of premature product disposal and, combined with RFIDs, improves the security of products through combined product degradation monitoring and tracking.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A sensor element for detecting degradation of an environmentally sensitive product comprising: a plurality of electrically conductive particles and a control agent dispersed in a polymeric matrix; wherein said control agent is selected to influence a reaction rate of said sensor element to selected environmental conditions so that change of an electrical measurement of said sensor element is correlatable to said degradation of said environmentally sensitive product.
2. The sensor element of claim 1 wherein said control agent is selected to adjust a reaction rate of an environmentally dependent reaction of said sensor element correlatable to a selected degradation measurement of said environmentally sensitive product.
3. The sensor element of claim 1 wherein said control agent is selected to adjust an activation energy of an environmentally dependent reaction of said sensor element correlatable to a selected degradation measurement of said environmentally sensitive product.
4. The sensor element of claim 1 wherein said control agent is selected to adjust a time constant of an environmentally dependent reaction of said sensor element correlatable to a selected degradation measurement of said environmentally sensitive product.
5. The sensor element of claim 1 wherein said control agent is selected to adjust an activation energy and a time constant of an environmentally dependent reaction of said sensor element correlatable to a selected degradation measurement of said environmentally sensitive product.
6. The sensor element of claim 1 wherein said polymeric matrix comprises a thermoset and said control agent is a catalyst.
7. The sensor element of claim 1 wherein said polymeric matrix comprises a thermoset and said control agent is a hardener.
8. The sensor element of claim 1 wherein a temperature-dependent volatility of said control agent provides said change of an electrical property of said sensor element correlatable to said degradation of said environmentally sensitive product.
9. The sensor element of claim 8 wherein said temperature-dependent volatility of said control agent is higher than a temperature-dependent volatility of said polymeric matrix.
10. The sensor element of claim 1 wherein said control agent is selected to correlate a decrease of electrical resistivity of said sensor element to temperature-induced degradation of a temperature-sensitive product.
11. The sensor element of claim 1 wherein said degradation of said environmentally sensitive product is mechanical degradation.
12. The sensor element of claim 1 wherein said degradation of said environmentally sensitive product is chemical degradation.
13. The sensor element of claim 1 wherein said degradation of said environmentally sensitive product is biological degradation.
14. The sensor element of claim 1 wherein said environmentally sensitive product is a food product.
15. The sensor element of claim 1 wherein said environmentally sensitive product is a pharmaceutical product.
16. The sensor element of claim 1 wherein said environmentally sensitive product is a cosmetic product.
17. A method of detecting degradation of an environmentally sensitive product comprising the steps: taking a first electrical measurement of a conductive composite degradation sensor in communication with said environmentally sensitive product, said degradation sensor comprising a polymeric matrix, conductive filler particles and a control agent selected to affect the rate of an environmentally affected reaction of said degradation sensor; and correlating said first electrical measurement to a degraded state of said environmentally sensitive product, said correlating incorporating degradation data of previously degraded environmentally sensitive product portion and electrical property data of at least one previously degraded test sensor comprising said polymeric matrix, said conductive filler particles and said control agent.
18. The method of detecting degradation of claim 17 wherein said rate of an environmentally affected reaction is an activation energy of said reaction.
19. The method of detecting degradation of claim 17 wherein said rate of an environmentally affected reaction is a time constant of said reaction.
20. The method of detecting degradation of claim 17 wherein said correlating said first electrical measurement to a degraded state of said environmentally sensitive product incorporates at least one electrical property measurement of said test sensor in a first plurality of environmental conditions and at least one measurement of a degraded state of said environmentally sensitive product portion in a second plurality of environmental conditions.
21. The method of detecting degradation of claim 17 wherein said electrical property is electrical resistivity.
22. The method of claim 20 wherein said correlating said first electrical measurement to a degraded state of said environmentally sensitive product is performed by a reader capable of measuring electrical resistance by electrical communication with said sensor element.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
August 22, 2007
November 3, 2009
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.